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AI Desk · AI Fingerprinting · Compare

AionLabs: Aion-3.0-Mini · Pareto

Identity similarity: lowDivergent fingerprints · 6/50These models tokenise differently. The rows that part here are the English prose, whitespace, digit, CJK, non-Latin script and emoji strings. Divergence on high-information strings separates unrelated vocabularies within a handful of samples.

AionLabs: Aion-3.0-Mini recordPareto recordOpen in the interactive bench

View all 50 test strings6 matched · 44 different · 0 excluded

String-by-string results

Expand a string to read or copy its exact text. Each row compares the two models’ token counts.

6 of 50 clean strings agree

Showing all 50 strings.

Test stringAionLabs: Aion-3.0-MiniParetoResult
English sentenceen-prose
Exact text
The quick brown fox jumps over the lazy dog near the riverbank.
106≠ Different
Long English sentenceen-long
Exact text
Attribution of a stealth model requires evidence that the model cannot choose to withhold.
128≠ Different
20 spacesspaces-20
Exact text
a                    b
Show whitespace marks

· = space, ⇥ = tab, ↵ = line break

a····················b
11✓ Matched
60 spacesspaces-60
Exact text
a                                                            b
Show whitespace marks

· = space, ⇥ = tab, ↵ = line break

a····························································b
11✓ Matched
20 tabstabs-20
Exact text
a																				b
Show whitespace marks

· = space, ⇥ = tab, ↵ = line break

a⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥⇥b
11✓ Matched
20 line breaksnewlines-20
Exact text
a



















b
Show whitespace marks

· = space, ⇥ = tab, ↵ = line break

a↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
↵
b
11✓ Matched
Mixed whitespacemixed-ws
Exact text
a 	
  	
   b
Show whitespace marks

· = space, ⇥ = tab, ↵ = line break

a·⇥↵
··⇥↵
···b
31≠ Different
9 digitsdigits-9
Exact text
123456789
11✓ Matched
12 digitsdigits-12
Exact text
123456789012
11✓ Matched
30 repeated digitsdigits-30
Exact text
111111111111111111111111111111
62≠ Different
Formatted numberdigits-sep
Exact text
1,234,567.89
31≠ Different
Long decimalfloat-long
Exact text
3.14159265358979323846
51≠ Different
Chinese sentencezh-common
Exact text
这是一个用于测试分词器行为的中文句子
51≠ Different
Long Chinese sentencezh-long
Exact text
人工智能模型的归属需要可验证的证据而不是自我报告
62≠ Different
Rare Chinese characterszh-rare
Exact text
龘齉齾爩鱻麤靐飝鞻
1410≠ Different
Japanese kanaja-kana
Exact text
これはトークナイザーのテストです
51≠ Different
Japanese kanjija-kanji
Exact text
日本語の漢字と仮名の混在文章
73≠ Different
Koreanko
Exact text
한국어 토크나이저 테스트 문장입니다
95≠ Different
Russianru
Exact text
Проверка токенизатора на кириллице
95≠ Different
Arabicar
Exact text
اختبار المحلل اللغوي للنصوص العربية
62≠ Different
Hebrewhe
Exact text
בדיקת מנתח אסימונים בעברית
106≠ Different
Hindihi
Exact text
यह टोकनाइज़र परीक्षण वाक्य है
1410≠ Different
Thaith
Exact text
นี่คือประโยคทดสอบตัวแบ่งคำ
73≠ Different
Greekel
Exact text
Δοκιμή του τμηματοποιητή κειμένου
128≠ Different
Basic emojiemoji-basic
Exact text
😀😃😄😁😆
62≠ Different
Emoji skin tonesemoji-skin
Exact text
👍🏻👍🏼👍🏽👍🏾👍🏿
106≠ Different
Joined family emojiemoji-zwj-family
Exact text
👨‍👩‍👧‍👦
73≠ Different
Repeated family emojiemoji-zwj-x3
Exact text
👨‍👩‍👧‍👦👨‍👩‍👧‍👦👨‍👩‍👧‍👦
2925≠ Different
Flag emojiemoji-flags
Exact text
🇬🇧🇺🇸🇨🇳🇯🇵
128≠ Different
Profession emojiemoji-prof
Exact text
👩🏽‍💻👨🏿‍🚀🧑‍🔬
1511≠ Different
Mathematical symbolsmath
Exact text
∀x∈ℝ ∃y∈ℚ : x⊕y ≡ ∅ ∧ ∇²φ = 0
1814≠ Different
Box-drawing charactersboxdraw
Exact text
┌─┬─┐│├┼┤└┴┘╔═╗╚╝
2319≠ Different
Combining accentscombining
Exact text
áêĩōü
62≠ Different
Extended Chinese characterscjk-ext-b
Exact text
𠀀𠀁𠀂𪛖
128≠ Different
Styled Unicode letterssurrogates
Exact text
𝕳𝖊𝖑𝖑𝖔 𝓦𝓸𝓻𝓵𝓭 𝟙𝟚𝟛
2925≠ Different
Layered combining markszalgo
Exact text
h̸̢̛e̵̛�݃l̷̨͐l̸̛͝o̶̧͝
3225≠ Different
Mixed writing directionsrtl-mix
Exact text
hello שלום world مرحبا
21≠ Different
Python codepy-code
Exact text
def f(x):
    return [i**2 for i in range(x) if i % 3 == 0]
Show whitespace marks

· = space, ⇥ = tab, ↵ = line break

def·f(x):↵
····return·[i**2·for·i·in·range(x)·if·i·%·3·==·0]
2117≠ Different
Indented Pythonpy-indent
Exact text
if a:
        if b:
                if c:
                        return 1
Show whitespace marks

· = space, ⇥ = tab, ↵ = line break

if·a:↵
········if·b:↵
················if·c:↵
························return·1
117≠ Different
JSON objectjson
Exact text
{"model":"ox-alpha","context_length":1048576,"top_p":0.95}
1612≠ Different
HTML markuphtml
Exact text
<div class="row"><span id="a">x</span></div>
128≠ Different
Regular expressionregex
Exact text
^(?:[a-z0-9!#$%&*+/=?^_`{|}~-]+)@(?:[a-z0-9](?:[a-z0-9-]*)?\.)+$
4339≠ Different
Camel-case identifiercamel
Exact text
getUserAccountBalanceByIdentifier
38≠ Different
Snake-case identifiersnake
Exact text
get_user_account_balance_by_identifier
49≠ Different
Repeated long wordrare-word-x5
Exact text
antidisestablishmentarianism antidisestablishmentarianism antidisestablishmentarianism antidisestablishmentarianism antidisestablishmentarianism
2218≠ Different
Repeated wordrepeat-tok
Exact text
lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem lorem
3733≠ Different
Base64 textbase64
Exact text
SGVsbG8gV29ybGQhIFRoaXMgaXMgYSB0ZXN0IHN0cmluZy4=
3026≠ Different
Hexadecimal texthex
Exact text
deadbeefcafebabe0123456789abcdef
84≠ Different
URL texturl
Exact text
https://openrouter.ai/api/v1/models?limit=100&offset=0
139≠ Different
UUIDuuid
Exact text
3f2504e0-4f89-11d3-9a0c-0305e82c3301
2319≠ Different

Counts show each string’s prompt-token cost after the fixed overhead is subtracted. Excluded readings are kept separate from matched and different results.

Published model settings

Limits, prices and capabilities

Compare the essentials, then open the developer settings for more detail.

AAionLabs: Aion-3.0-Mini
BPareto

Context window

Different

Total token capacity per request

A131,072 tokens
B262,144 tokens

Maximum reply

Different

Published output limit in tokens

A32,768 tokens
B131,072 tokens

Input price

Different

US dollars per 1 million input tokens

AUS$0.70 / 1M tokens
BUS$2.50 / 1M tokens

Output price

Different

US dollars per 1 million output tokens

AUS$1.40 / 1M tokens
BUS$7.50 / 1M tokens

What you can send and receive

Different

AAion-3.0-Mini

Accepts
text
Produces
text

BPareto

Accepts
textimage
Produces
text

Developer settings

Open a section to compare the complete declarations.

Supported API settingsShared controls and the settings unique to each model6 shared · 2 model-specific

AOnly Aion-3.0-Mini 2

  • Include reasoninginclude_reasoning
  • Reasoningreasoning

BOnly Pareto 0

All declared settings are shared.

6 settings supported by both models
  • Maximum tokensmax_tokens
  • Response formatresponse_format
  • Temperaturetemperature
  • Tool choicetool_choice
  • Toolstools
  • Top ptop_p
Reasoning settingsEffort levels and reasoning behaviour1 different · 0 shared
A1 declared fieldsBUnspecified
SettingAAion-3.0-MiniBPareto
Reasoning requiredYesUnspecified
Default settingsValues used when a request leaves a setting openDeclarations available below
ANo values declaredBNo values declared

Both models’ declarations are shown above.

Published API declarations. Prices and limits can vary by provider.

Method: tokenizer fingerprinting, v1, 50 strings. This page is static and dated; the interactive bench compares any two of the 353 measured models.